Graph AI Raises $13.3 Million to Automate Drug Safety Reports
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Graph AI Raises $13.3 Million to Automate Drug Safety Reports
The startup says its software cuts case processing from three hours to under 10 minutes, a claim from the company itself that neither investor has independently verified.
Graph AI raised $13.3 million in a Series A round led by Insight Partners, with existing investor Bessemer Venture Partners also participating, the Pleasanton, California, startup said Thursday, Sept. 10, 2026.
Entrackr and TheSaaSNews both reported the round the same day, citing Graph AI's announcement. The company, founded in 2024, builds Graph Safety, software that automates pharmacovigilance, the industry term for monitoring drug safety after a medicine reaches patients, for pharmaceutical and biotechnology companies. The round follows a $3 million seed round Graph AI raised in October 2025, according to Entrackr, putting the company at just under a year between its first check and this one.
What Graph AI says the software actually does
Graph Safety ships three modules today: Intake, which captures and triages adverse-event reports; Nucleus, described as an intelligent safety database; and Report, which launched this month, according to Entrackr's reporting. A fourth module, Signal, meant to flag emerging safety patterns, is still in design partnerships rather than general release.
| Metric | Before Graph AI | With Graph AI |
|---|---|---|
| Case processing turnaround | More than 3 hours | Under 10 minutes |
| Operating cost | Baseline | Down as much as 66 percent |
Graph AI itself is the source of both figures in that table, reported identically by Entrackr and TheSaaSNews from the company's own announcement; neither outlet, nor Graph AI's investors as quoted in the coverage, describes an independent audit of the underlying case volumes or the methodology behind the percentage reduction.
Why a pharma-focused investor backed the deterministic pitch
"Pharma companies must strive to get patient safety exactly right, and almost none of them want to be in the business of integrating disparate tools," Richard Matus, an Insight Partners principal, said, according to Entrackr's report on the round. Raghav Parvataraju, Graph AI's chief executive, said the industry has historically scaled pharmacovigilance "by adding people and processes around legacy systems" rather than replacing them.
Graph AI's pitch rests on a specific word: deterministic. The company says Graph Safety pairs AI models with deterministic controls, validation layers and audit trails, a design choice aimed at regulators who need to trace exactly how a system reached a conclusion about a drug safety case, rather than trusting a model's output on its own. Nithin Kaimal of Bessemer Venture Partners echoed that framing, saying patient safety software should run on an integrated platform rather than fragmented tools and manual handoffs.
What comes next
Graph AI said it will use the $13.3 million to expand across the United States and Europe and accelerate work on Signal, the pattern-detection module still in design partnerships. Neither Entrackr nor TheSaaSNews named which pharmaceutical companies are running Graph Safety in production, the detail that would let an outside party check the company's own turnaround-time claim against a real caseload. That gap puts Graph AI in the same position as other AI-for-professionals startups funded in 2026, including Harvey's push into corporate law and Lightfield's agent-facing CRM: investors funding a deterministic-sounding pitch built largely on numbers the startup itself supplied.
Sources
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